Description

You will build large-scale distributed AI applications and end-to-end ML pipelines. This role is on-site.

Responsibilities

• Build end-to-end ML pipelines for data collection, processing, training, fine-tuning, and deployment.
• Develop Deep Neural Networks, CNNs, or Transformer models using PyTorch or TensorFlow.
• Train Large Language Models (LLMs) and speech models.
• Create REST APIs using the Spring framework.
• Manage model training and deployment across Linux and Windows environments.

Required Skills

• 5+ years of hands-on experience in AI/ML development.
• Proficiency in Python programming.
• Experience with Java/J2EE.
• Expertise in building DNN, CNN, Transformers, and LLMs.
• Experience with GPU/TPU enabled model training.
• Knowledge of model training techniques and data preparation.
• Experience with cloud technology.
• Working knowledge of Agile and SDLC methodologies.

Preferred Skills

• Experience in the Fraud Detection domain.
• Experience deploying ML models in production environments.
• Experience building ML models from scratch or implementing ML in Java.

Key Skills

Education

Any Graduate